m. tech program in electronics and communication engineering · syllabus arithmetic of galois...

Kerala Technological UniversityCluster 4: KottayamM. Tech Program inElectronics and CommunicationEngineering(Communication Engineering)Scheme of Instruction & Syllabus: 2015 Admissions

Compiled ByRajiv Gandhi Institute of Technology, KottayamJuly 2015

2 Kerala Technological University|Cluster 4|M.Tech in Communications Engineering

Kerala Technological University

Cluster 4: Kottayam

M. Tech Program Electronics and Communication Engineering

with specialization in Communication Engineering

Credit requirements :- 66 credits (21+19+14+12)Normal Duration :- Regular: 4 semesters; External Registration: 6 semestersMaximum duration :- Regular: 6 semesters; External registration : 7 semestersCourses: Core Courses :- Either 4 or 3 credit courses; Elective courses: All of 3 credits

ELIGIBILITY: B. Tech / B.E in Electronics and Communication engineering, or alliedbranches with strong focus in electronics engineering.

SEMESTER-1

ExamSlot Course Code Name L- T - P Internal

Marks

End Sem.Exam Credits

(22)Marks hrs

A 04 EC 6301 Analytical Foundation forCommunication Engineering 4-0-0 40 60 3 4

B 04 EC 6303 Advanced DigitalCommunication Techniques 3-0-0 40 60 3 3

C 04 EC 6305 Algebraic Coding Theory 3-0-0 40 60 3 3

D 04 EC 6307 High Frequency CircuitsDesign 3-0-0 40 60 3 3

E 04 EC 63XX Elective1 3-0-0 40 60 3 304 GN 6001 Research Methodology 0-2-0 100 0 0 204 EC 6391 Seminar 0-0-2 100 0 0 2

04 EC 6393 Communication EngineeringLab I 0-0-2 100 0 0 1

TOTAL 22 21


SEMESTER-2

ExamSlot Course No: Name L- T - P Internal

Marks


(19)Marks hrs

A 04 EC 6302 Advanced CommunicationNetworks

4-0-0 40 60 3 4

B 04 EC 6304 Multicarrier and MIMOCommunication Systems

3-0-0 40 60 3 3

C 04 EC 6306 Adaptive Signal ProcessingTechniques

3-0-0 40 60 3 3

D 04 EC 63XX Elective-2 3-0-0 40 60 3 3

E 04 EC 63XX Elective-3 3-0-0 40 60 3 3

04 EC 6392 Mini Project 0-0-4 100 0 0 2

04 EC 6394 Communication EngineeringLab 2

0-0-2 100 0 0 1

22 19

SUMMER BREAK


Marks


(0)Marks hrs

04 EC 7390 Industrial Training 0-0-4 Pass/Fail

SEMESTER-3


Marks


(14)Marks hrsA 04 EC 73XX Elective 4 3-0-0 40 60 3 3

B 04 EC 73XX Elective 5 3-0-0 40 60 3 3

04 EC 7391 Seminar 0-0-2 100 0 0 2

04 EC 7393 Project (Phase 1) 0-0-12 50 0 0 6


SEMESTER-4


Marks

ExternalEvaluation Credits

(12)Marks04 EC 7394 Project (Phase 2) 0-0-21 70 30 12

ELECTIVE LIST

ELECTIVEGROUP

EXAMSLOT Course No: Name

1

E 04 EC 6309 Advanced Optical CommunicationE 04 EC 6311 Signal Processing for Speech and ImageE 04 EC 6313 Real Time Embedded System DesignE 04 EC 6315 Antenna Theory and Design

2

D 04 EC 6308 Advanced Wireless & Mobile Communication systemD 04 EC 6312 Modern Satellite SystemsD 04 EC 6314 RF MicroelectronicsD 04 EC 6316 Multimedia compression techniques

3

E 04 EC 6318 Electromagnetic Compatibility and InterferenceE 04 EC 6322 Estimation and DetectionE 04 EC 6324 Neural Networks and applicationsE 04 EC 6326 Computational Electromagnetic

4

A 04 EC 7301 Wireless ADHOC and Sensor NetworksA 04 EC 7303 Communication Switching & MultiplexingA 04 EC 7305 Cloud ComputingA 04 EC 7307 Microwave Integrated Circuits Design

5

B 04 EC 7309 Adaptive and smart antennasB 04 EC 7311 Communication Network SecurityB 04 EC 7313 Computer VisionB 04 EC 7315 Modern trends in communications


COURSE CODE COURSE NAME L-T-P:C YEAR

04 EC 6301 Analytical Foundations forCommunication Engineering 4-0-0: 4 2015

Pre-requisites: Nil

Course Objective:

1. To understand the basic concepts of linear algebra2. Application of random process, Markov and queuing models to areas like communication and

networks

Syllabus

Algebraic Structures: Sets ,Group,Ring - Field - Vector Space, Linear Independence, Inner Product Spaces,Orthonormal Bases, Linear Transformations, inverse transformation Change of basis, system of linerequations projection. Eigen values, Diagonalization of LTI operator, Review of random processes:Classification of General Stochastic Processes, Spectral Density Function -Gaussian Random Process.Markov Process: Markov Chain , Basic Limit Theorem -Limiting Distribution of Markov Chains.Continuous Time Markov Chains: Poisson Process.

Course Outcome:

The student will be able to

1. Understand the basic concepts of linear algebra.

2. Analyze the various linear transformations.

3. Evaluate the different aspects of random process

4. Apply Markov process in different aspects

Text Books:

1. Kenneth Hoffman and Ray Kunze, Linear Algebra, 2nd Edition, PHI. (Module 1)2. S. M. Ross, Introduction to Probability Models, Elsevier, 8th edition (Modules 2, 3, 4)

References:1. Gilbert Strang, Linear Algebra and Its Applications, Thomson Learning (Module 1)2. J.H. Kwak, S. Hong, “Linear algebra”, 2nd edition, Springer India, 2010.3. R. Bronson, G.B. Costa, ‘Linear algebra- An Introduction”, 2nd edition, Elsevier India, 20094. Alberto Leon Garcia, “Probability and Random Processes for Electrical Engineering”, Pearson

Education, 2nd edition. (Modules 2, 3, 4)5. A. Papoulis, S. U. Pillai, “Probability, Random Variables and Stochastic Processes”

4th Edition Tata-Mc Hill (4/E), 2001(Modules 2, 3)3. D. Bertsekas and R. Gallager, “Data Networks”, Prentice Hall of India, 2/e, 2000 (Chapter 3

for Module 4)


4. S. Karlin & H.M Taylor, A First Course In Stochastic Processes, 2nd Edition, Academic Press,New York.

5. J. Medhi, Stochastic Processes, New Age International, New Delhi.

COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS

04 EC 6301Analytical Foundations for Communication

Engineering4-0-0:4

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Algebric sets, Introduction: Groups- Rings- Fields-Arithmeticof Galois Fields- sub fields. Integer Ring- vector space and PolynomialRings- Polynomials and Euclidean algorithm. Primitive elements-Construction and basic properties of Finite Fields- Computations usingGalois Field arithmetic. Minimal polynomial and conjugates. Vectorspace- Vector Subspace- Linear independence

10 15

MODULE 2: Linear Transformations,Kernels And Images-fourfundamental subspaces of linear transformation,Inverse transformation,Rank nullity theorem,Matrix representation of linear transformation

10 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Coordinate transformation - system of liner equations –existence and uniqueness of solutions,Projection – least square solution– pseudo inverse. Eigen values - Eigen vectors andspectrum,Diagonalizability – orthogonal diagonilization,Properties ofEigen values and Eigen vectors of Hermitian matrices - Diagonalization ofLTI operator

10 15

MODULE 4: Review of random processes: Classification of GeneralStochastic Processes -Jointly Gaussian Random Variables ,Mean andCorrelation of Random Processes - Stationary and Wide Sense StationaryRandom Processes -Ergodic process -Spectral Density Function -GaussianRandom Process -Poisson process and Brownian motion -Low Pass andBand Pass Processes -White Noise and White Noise Integrals RandomProcesses as Input to LTI Systems - Gaussian processes as inputs to LTIsystems

10 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Markov Process ,Definition, Examples -Transition ProbabilityMatrices of a Markov Chain,Discrete Time Markov Chains‐ - States andChains,Chapman Kolmogorov Equation

8 20


MODULE 6: Basic Limit Theorem -Limiting Distribution of Markov Chains.Continuous Time Markov Chains: Poisson Process,General Pure BirthProcesses - Properties,Inter Arrival And Waiting Time Distributions -BirthAnd Death Processes.

8 20

END SEMESTER EXAM



04 EC 6303 Advanced Digital CommunicationTechniques 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

• To understand the concepts communication of noise channels.• Effect of synchronization in communication.• Concepts of band limited channels.

SyllabusReview of Random variables, Multi variate Gaussian distributions, Characterization ofCommunication Signals and Systems, Multi dimensional signaling, Optimum receivers for AWGNchannels Matched filter receiver, Comparison of digital signaling methods, Carrier Recovery andSymbol Synchronization in Signal Demodulation, Carrier Phase Estimation, Characterization for bandlimited channels, Equalization Techniques, Maximum Likelihood timing estimation, AdaptiveEqualization ,LMS algorithm, adaptive decision feedback equalizer.

Course Outcome:

The student will be able to analyze various aspects of digital communication Techniques

Text Books:

1. J.G. Proakis, M. Salehi, “Digital Communication”, MGH 5th edition, 2008.2. J.G. Proakis, M. Salehi, “Fundamentals of Communication systems”, Pearson, 2005.

References:

1. John B. Anderson, “Digital Transmission Engineering”, Wiley India Reprint,2012.2. Edward. A. Lee and David. G. Messerschmitt, “Digital Communication”, Allied Publishers(second edition).3. J Marvin.K.Simon, Sami. M. Hinedi and William. C. Lindsey, “Digital CommunicationTechniques”, PHI.4. William Feller, “An introduction to Probability Theory and its applications”, Wiley 2000.5. Sheldon.M.Ross, “Introduction to Probability Models”, Elsevier, 9th edition, 2007.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6303 Advanced Digital Communication Techniques 4-0-0:4

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Review of Random variables, probability distribution anddensity functions,Moment generating function, CharacteristicFunction,Upper bounds on tail probability- Chebyshevinequality,Chernoff bound, Gaussian, Chi square,Rayleigh, Rician,Nakagami and Multi variate Gaussian distributions

7 15

MODULE 2: PDFs and moments, Central limit Theorem,Characterizationof Communication Signals and Systems,Signal spacerepresentation,Representation of digitally modulated signals,Multidimensional signaling.

5 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Optimum receivers for AWGN channels,Waveform andvector AWGN channel models- Optimal detection, Correlation receiver,Matched filter receiver,Optimal detection and error probabilities forBand limited and Power limited signaling,Comparison of digital signalingmethods

7 15

MODULE 4: Carrier Recovery and Symbol Synchronization in SignalDemodulation, Signal parameter estimation, Carrier Phase Estimation,Maximum Likelihood phase estimation Phase locked loop Effect ofadditive noise on the phase estimate; Symbol Timing Estimation.

8 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Characterization for band limited channels, Signal design -Optimum pulse shaping, Nyquist criterion for zero ISI, Partial responsesignaling, Optimum receiver for channels with ISI and AWGN;Equalization Techniques, Linear Equalization Decision feedbackequalization, Turbo equalization

8 20

MODULE 6: Maximum Likelihood timing estimation- Non DecisionDirected Timing Estimation, Joint Estimation of Carrier phase andSymbol Timing Adaptive Equalization - adaptive linear equalizer Zeroforcing algorithm, LMS algorithm, adaptive decision feedback equalizer.

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6305 Algebraic Coding Theory 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives: To understand the theoretical framework upon which error-control codes are built and then

solve them by using the theory of finite fields. To implement some of the error-control codes discussed in class.

SyllabusArithmetic of Galois Fields primitive elements, Computations using Galois Field arithmetic- sub fields-Minimal polynomial and conjugates- Vector space and Vector Subspace, Linear Block codes: Encodingand Decoding of Linear Block Codes- Bounds for Linear codes- Standard Array Hamming codes - Perfectcodes , Hadamard codes, instantaneous codes- Kraft's inequality, McMillan’s inequality - -Shannoncoding, Shannon-Fano coding, Shannon Fano Elias coding, Huffman coding, Arithmetic coding, LempelZiv coding. Cyclic codes: BCH codesThe Berlekamp Massey decoding algorithm- Reed Solomon Codes -MDS codes- Reed Muller codes.Convolutional Coding, The Viterbi Algorithm, stack algorithm. CIRC, LDPC codes- - Gallager codes.

Course Outcome:

The student will be able to apply appropriate coding system to communication networks.

Text Books:

1. Shu Lin and Daniel. J. Costello Jr., “Error Control Coding: Fundamentals and applications”,Second Edition Prentice Hall Inc, 2004.2. Algebraic Codes for Data Transmission By Richard E. Blahut. Cambridge university press, 2006

References:

1. W.C. Huffman and Vera Pless, “Fundamentals of Error correcting codes”, Cambridge UniversityPress, 2003

2. Algebraic and Stochastic Coding Theory By Dave K. Kythe, Prem K. Kythe, CRC Press3. Elwyn R. Berlekamp, “Algebraic Coding Theory” ,McGawHill Book Company, 19844. Robert McEliece “The theory of Information and Coding”, Cambridge University Press, 20025. Abubeker K.M, Sabna backer “Maximum likelihood Decoding of Convolutional codes using

Viterbi algorithm with improved error correction Capability”- 2013 IEEE Conference-ICT 2013


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6305 Algebraic Coding Theory 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Introduction: Groups- Rings- Fields-Arithmetic of GaloisFields, Integer Ring- vector space and Polynomial Rings- Polynomialsand Euclidean algorithm-primitive elements ,Construction and basicproperties of Finite Fields, Computations using Galois Fieldarithmetic- sub fields, Minimal polynomial and conjugates- Vectorspace- Vector Subspace- Linear independence

7 15

MODULE 2: Linear Block codes: Optimal decoder- Syndrome andError detection ,Error detection and correction capabilities-Encoding and Decoding of Linear Block Codes ,Bounds for Linearcodes- Standard Array and Syndrome decoding Hamming codes,Extended Hamming code-- Perfect codes , Repetition codes -Hadamard codes

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Encoding techniques- Construction of instantaneouscodes , Kraft's inequality, McMillan’s inequality Noiseless codingtheorem- Construction of basic source codes, Shannon coding,Shannon-Fano coding, Shannon Fano Elias coding, Huffman coding,Arithmetic coding, Lempel Ziv coding

7 15

MODULE 4: Cyclic codes: Generator and Parity check matrices, Cyclicencoders- Error detection & correction- BCH codes , Decoding ofBCH codes- The Berlekamp Massey decoding algorithm, ReedSolomon Codes, Decoding of RS codes extended RS codes- MDScodes- Reed Muller codes

6 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Convolutional Coding: Trellis diagram, Transfer function-Maximum Likelihood decoding, Hard versus Soft decision decoding,The Viterbi Algorithm- Error detection and correction using ViterbiAlgorithm Catastrophic encoder- Stack algorithm. CIRC encoding anddecoding

7 20

MODULE 6: Turbo codes: Encoders, interleaves, Turbo decoder- LowDensity Parity Check codes, Ensembles of LDPC codes- TannerGraphs Message-passing decoders, Hard and Soft decision decoding,Threshold phenomenon and density evolution, Irregular LDPCcodes- Gallager codes

8 20


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6307 High Frequency Circuits Design 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To understand the basic concepts of transmission line theory Understanding of Smith chart and scatter parameters Clear understanding of RF design

SyllabusRF frequency spectrum, RF behavior of Passive component, Transmission line analysis, design ofmicrostrip transmission line, Quarterwave transmission line. Sourced and Loaded Transmission line,Return loss and insertion loss. Smith chart, Scattering Parameters, Signal Flow Chart Modeling, BasicResonator and Filter Configurations, Special Filter RealizationsDenormalization of standard low-passdesign,ilter implementationExamples of Microstip Filter Design, Amplifier Power Relations: NoiseFigure Circles,. Broad-Band, High Power, and Multi-Stage Amplifiers.

Course Outcome:

The student will be able to apply appropriate to design RF filters and RF transistor amplifiers

Text Books:

1. Reinhold Ludwig & Gene Bogdanov, “RF Circuit Design – Theory and Applications”, 2nd Ed.,Pearson Education., 2009.

2. David M. Pozzar , “ Microwave Engineering”, 4th Ed., Wiley India, 2013.

References:

1. Mathew M. Radmanesh, “Radio Frequency and Microwave Electronics”, 2nd Ed. PearsonEducation Asia, 2006.

2. Ulrich L. Rohde & David P. NewKirk, “RF / Microwave Circuit Design”, John Wiley & Sons,2000.

3. Davis W. Alan, “Radio Frequency Circuit Design”, Wiley India, 2009.4. Christopher Bowick, John Blyer& Cheryl Ajluni “ RF Circuit Design”, 2nd Ed., Newnes, 2007.5. Cotter W. Sayre, “Complete Wireless Design”, 2nd Ed., McGraw-Hill, 2008. Joseph J. Carr,

“RF Components and Circuits”, Newnes, 2002


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6307 High Frequency Circuits Design 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Introduction: Dimensions and units used in RF, RF frequencyspectrum , RF behaviour of Passive components (Resistors capacitorsinductors,) [no need to do the examples in them],Transmission lineanalysis: Equivalent circuit representation of Transmission line, generaltransmission line equation , Travelling voltage and current waves,characteristic impedance, lossless transmission line model

8 15

MODULE 2: Microstrip transmission line, design of microstriptransmission line Terminated lossless transmission line: Voltagereflection coefficient, Propagation constant and phase velocity, standingwaves, Special termination conditions: Short-circuit and open circuittermination and their input impedance, Quarterwave transmission line.Sourced and Loaded Transmission line: Phasor representation of source,power consideration for a transmission line Input impedance matching,Return loss and insertion loss

9 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Smith chart: Impedance transformation, Admittancetransformation, Parallel and series connection, Interconnectingnetworks: Series Connection of Networks, Parallel Connection ofNetworks. Cascading Networks, Interrelations between Parameter Sets.Scattering Parameters: Definition of Scattering Parameters, Meaning ofS-Parameters, Chain Scattering Matrix, Conversion between Z- and S-Parameters , Signal Flow Chart Modelling, Generalization of S-Parameters

11 15

MODULE 4: Basic Resonator and Filter Configurations: Filter Types andParameters, Low-Pass filter, High-Pass Filter, Bandpass and BandstopFilters , Insertion loss, Special Filter Realizations: Butterworth-typefilters, Chebyshev-type filters , Denormalization of standard low-passdesign

8 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Filter implementation: Unit elements , Kuroda’s identities,Examples of Microstip Filter Design ,Coupled Filter: Odd and Even ModeExcitation Band-pass Filter Section, Cascading band-pass filter elements

9 20


MODULE 6: Amplifier Power Relations: RF Source, Transducer PowerGain, Additional Power Relations. Stability Considerations: StabilityCircles, Unconditional Stability Stabilization Methods, Constant Gain:Unilateral Design, Unilateral Figure of Merit, Bilateral Design, Operatingand Available Power Gain Circles. Noise Figure Circles, Constant VSWRCircles. Broad-Band, High Power, and Multi-Stage Amplifiers

10 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6309 Advanced Optical Communication 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To understand the concepts of optical transmitters and receivers Clear understanding of WDM and DWDM New advancements in optical networks

SyllabusOptical sources, spectrum. Laser diodes ,Photo detectors PIN, APD ,Digital Coherent, Bust modereceiver. Analog receivers, Power penalties. Error control, WDM & DWDM concepts and Mach,Zehnderinterferometer multiplexer. Isolators and circulators, Dielectric thin film filters, MEMs, optical add/dropmultiplexers, polarization and dispersion controllers, FWM mitigation, wave length convertors. Opticalnetworks, SONET/SDH, Ethernet, IP, multiprotocol label switching, OTDM, synchronizationCourse Outcome:

The student will demonstrate the ability to understand the various aspects of optical communication

Text Books:

1. Gerd Keiser, “Optical fibre communications”, TMH, 4th

Edition, 2008.2. Rajiv Ramaswami, Kumar N Sivarajan and Galen H. Sasaki, Optical Networks , A practical

perspective, 3rd edition.

References:

1. Govind P Agrawal, “Fiber optic communication systems”, 4th Edition, John Wiley,2010.2. J.M. Senior, “Optical fibre communications”, Pearson education, 3rd Edition, 2009.3. Harold Kolimbiris, “Fiber optics communications”, Pearson Education, 2nd Edition,2009.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6309 ADVANCED OPTICAL COMMUNICATION 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Optical sources – LED – spectrum, quantum efficiency, powerLaser diodes – modes and threshold conditions, Laser diodes – modes andthreshold conditions, Rate equations, External quantum efficiency,resonant frequency, radiation pattern. Light source linearity and reliabilityconsiderations

9 15

MODULE 2: Photo detectors – photo detection principle , Quantumefficiency, Responsivity, Photo detector noise, noise sources, responsetime, PIN, APD (structure and working only).

9 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Digital receivers – probability error, receiver sensitivity,quantum limit BER and Q, factor measurements. Coherent detection –concepts, homodyne and heterodyne reception, BER comparison. Bustmode receiver. Analog receivers. Point,to,point link ,Rise time budget,power budget. Power penalties. Error control.

10 15

MODULE 4: WDM & DWDM concepts and components – operationprinciple standards, Mach Zehnder interferometer multiplexer. Isolatorsand circulators, Fibre grating filters – basics, FBG analysis and applications ,Dielectric thin film filters, phased, array based devices, diffraction gratings.

9 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: MEMs, variable optical attenuators, tunable optical filters,dynamic gain equalizers, optical add/drop multiplexers, polarization anddispersion controllers. Self phase modulation, cross phase modulation,four wave mixing, FWM mitigation wave length convertors. Solitons –concept, parameters, width and spacing

10 20

MODULE 6: Optical networks, SONET/SDH, optical transport networksgeneric framing procedure, Ethernet, IP, multiprotocol label switching,Resilient packet ring, Storage, area Networks, Photonic packet switching,OTDM, synchronization, buffering, Burst switching

9 20

END SEMESTER EXAM



04 EC 6311SIGNAL PROCESSING FOR SPEECH AND

IMAGE 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To understand the speech and image processing To get a clear understanding of various transforms used in speech and image

SyllabusDiscrete time speech signals, Z transform for speech recognition, linear and non linear filter banks.Spectral estimation of speech using the Discrete Fourier transforms. Pole,zero modeling of speech andlinear prediction (LP) analysis of speech. Feature extraction for speech recognition Mel frequencycepstral co,efficients (MFCC), Linear prediction cepstral coefficients (LPCC), Perceptual LPCC. .Discreteand Continuous Hidden Markov modeling for isolated word and continuous speech recognition.Elements of visual perception2D image transforms, DFT, DCT, KLT, DWT and SVD. Fuzzy clustering,Watershed algorithm, Wavelet based Segmentation methods edge detection operators, Phasecongruency, feature extraction, Fractal model based features, Gabor filter, wavelet features. Curvelettransform

Course Outcome:

The student will demonstrate the ability to understand the various aspects of speech and imageText Books:

1. Discrete,Time Speech Signal Processing: Principles and Practice, Thomas F. Quatieri, Cloth, 816pp. ISBN: 013242942X Published: OCT 29, 2001.

2. Mark Nixon, Alberto Aguado, “Feature Extraction and Image Processing”, Academic Press,2008.

References:

1. Fundamentals of Speech Recognition, L. Rabiner and B. Juang, Prentice,Hall SignalProcessingSeries, Pages: 507, Year of Publication: 1993, ISBN:0,13,015157,2. Speech and Audio SignalProcessing: Processing and perception of speech and music B. Gold and N. Morgan, Wiley2000, ISBN: 0,471,35154,7.

2. Digital Processing of Speech Signals, LR Rabiner and RW Schafer, Pearson Education3. Hidden Markov Models for Speech Recognition, XD Huang, Y Ariki, MA Jack, Edinburgh

University Press.4. John C.Russ, “The Image Processing Handbook”, CRC Press,2007.5. Ardeshir Goshtasby, “ 2D and 3D Image registration for Medical, Remote Sensing and Industrial

Applications”,John Wiley and Sons,2005.6. Rafael C. Gonzalez, Richard E. Woods, , Digital Image Processing', Pearson,Education,

Inc.,Second Edition, 2004.7. Anil K. Jain, , Fundamentals of Digital Image Processing', Pearson Education,Inc., 2002.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6311 SIGNAL PROCESSING FOR SPEECH AND IMAGE 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Discrete time speech signals relevant properties of the fastFourier transform and Z Transform for speech recognition convolution,linear and non linear filter banks, Spectral estimation of speech usingthe Discrete Fourier transforms.

6 15

MODULE 2: Pole, zero modeling of speech and linear prediction (LP)analysis of speech.Homomorphic speech signal de convolution, Realand complex cepstrum, Application of cepstral analysis to speechsignals.

6 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Feature extraction for speech recognition, Static anddynamic features for speech recognition, robustness issues,discrimination in the feature space, feature selection, Mel frequencycepstral coefficients (MFCC) Linear prediction cepstral coefficients(LPCC) Perceptual LPCC.

6 15

MODULE 4: Vector quantization models and applications in speakerrecognition. Gaussian mixture modeling for speaker and speechrecognition, Discrete and Continuous Hidden Markov modeling forisolated word and continuous speech recognition

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Elements of visual perception, brightness, contrast, hue,saturation, mach band effect, 2D image transforms,DFT, DCT, KLT, DWTand SVD, Image enhancement in spatial and frequency domainEdgedetection, Thresholding,Region growing, Fuzzy clustering, Watershedalgorithm, Wavelet based Segmentation methods

9 20

MODULE 6: First and second order edge detection operators, Phasecongruency Localized feature extraction,detecting image curvature,shape features Hough transform ,Texture descriptors, Autocorrelation,Cooccurrence features, Runlength features, Fractal model basedfeatures, Gabor filter, wavelet features, Image Fusion, Overview ofimage fusion, pixel fusion, Curvelet transform

8 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6313 Real Time Embedded System Design 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To understand the concepts of embedded system To get a clear understanding of the various interfacing concepts To learn more of RTOS

SyllabusMemory, Microprocessor buses, Interrupts, Shared data problems, Embedded system evolutiontrendsRescheduling architecture and algorithm, Task and Task states Semaphore and shared dataoperating system Memory management – Interrupt routines in an RTOS environment, Memory types,Advance RAM interfacing, Microprocessor interfacing I/O addressing , Direct memory access multilevelbus architecture – Serial protocol Parallel protocols – I2C protocol, HDLC protocol Wireless protocols ,Finite state machine, Design technology Automation synthesis

Course Outcome:

The student will demonstrate the ability to understand the various needs of Real Time EmbeddedSystems

Text Books:

1. David. E.Simon, “An Embedded Software Primer”, Pearson Education, 2001.

References:

1. Frank Vahid and Tony Gwargie, “Embedded System Design”, John Wiley & sons, 2002.2. Steve Heath, “Embedded System Design”, Elsevier, Second Edition, 2004.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6313 Real Time Embedded System Design 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Introduction: Gates, Timing diagram memory, Microprocessorbuses, direct memory access, Interrupts, Built interrupts, Interrupts basis ,Shared data problems, Interrupt latency

6 15

MODULE 2: Embedded system evolution trends, Round, Robin, RoundRobin with interrupt function, Rescheduling architecture, and Reschedulingalgorithm.

6 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Task and Task states – Task and data, Semaphore and shareddata operating system services, Message queues, timing functions – Events– Memory management Interrupt routines in an RTOS environment – Basicdesign using RTOS.

7 15

MODULE 4: Memory write ability and storage performance memory types– composing memory , Advance RAM interfacing, Communication basic –Microprocessor interfacing I/O addressing

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Interrupts – Direct memory access , Arbitration, multilevel busarchitecture –Serial protocol Parallel protocols – I2C protocol HDLCprotocol Wireless protocols – Digital camera example

6 20

MODULE 6: Modes of operation – Finite state machine– HCFSL and statecharts language, State machine models – Concurrent, process model –Concurrent process – Communication among process Synchronizationamong process –Implementation , Data Flow model , Design technologyAutomation synthesis, Hardware & software co, simulation– IP cores –Design Process Model

10 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6315 Antenna Theory and Design 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To understand the basic concepts of antenna fundamentals To learn about radiations from various structures To get a clear insight into microstrip antenna

SyllabusMechanism of radiation of EM energy from a dipole and horn , nAntenna parameters , radiationequation, pattern, beam width, aperture, effective height, Effect of ground plane –Small loop antenna,Field equivalence principle Slot antenna; Horn antenna; Reflector antenna, structure of phased array,linear array theory, effects of phase quantization, frequency scanned arrays, MEMS technology inphased arrays, Retrodirective and self phased arrays, Excitation techniques; Microstrip dipole;Rectangular patch, Circular patch, and Ring antenna . radiation analysis from transmission line model,Microstrip array and feed network, Application of microstrip array antenna. Mobile phone antenna,base station, hand set antenna.

Course Outcome:

The student will able to design an antenna for a specific applicationText Books:

1. Constantine A Balanis, ”Antenna theory: analysis and design”, Wiley India, 3rdEdition, 2011.

2. Hubregt.J.Visser “Antenna Theory and Applications” 1st Edition, John Wiley & Sons Ltd,Newyork,2012.

References:

1. Zhijun Zhang” Antenna Design for Mobile Devices” 1st Edition, John Wiley & Sons (Asia) Ltd,Newyork,2011.

2. Xavier Begaud, “Ultra Wide Band Antennas” , 1st Edition, ISTE Ltd and John Wiley & SonsLtd,Newyork,2013.

3. Krauss.J.D, “Antennas”, II edition, John Wiley and sons, New York, 1997.4. I.J. Bahl and P. Bhartia,” Microstrip Antennas”,Artech House,Inc.,19805. W.L.Stutzman and G.A.Thiele,”Antenna Theory and Design”, 2nd Edition, John Wiley&

a. Sons Inc.,1998.6. S.Drabowitch et.al.:, ”Modern Antennas”, 2nd Edition Springer science business Media,

Inc.2005.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6315 Antenna Theory and Design 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Radiation process, mechanism of radiation of EM energyfrom a dipole and horn (concept only) radiation pattern, Antennaparameters (concept and expressions) Radiation equation, pattern, beamwidth, aperture, effective height, antenna field region/zone.

5 15

MODULE 2: Reciprocity theorem (details).self, impedance and mutualimpedance (concepts).Effect of ground plane –image theory, Small loopantenna, Duality theorem and applications. Communication link –receiving and transmitting antenna, electrical equivalent ckt, Point sourceconcept

8 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Field equivalence principle, Radiation from Rectangular andCircular apertures, Uniform aperture distribution on an infinite groundplane;Slot antenna; Horn antenna; Reflector antenna, Aperture blockageand design consideration.

7 15

MODULE 4: Introduction, General structure of phased array, linear arraytheory, Variation of gain as a function of pointing direction, Effects ofphase quantization, frequency scanned arrays, analog beam formingmatrices, Active modules, digital beam forming,MEMS technology inphased arrays, Retrodirective and self phased arrays.

8 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Radiation Mechanism from patch; Excitationtechniques,Microstrip dipole; Rectangular patch, Circular patch, and Ringantenna, Radiation analysis from transmission line model, cavity model,Input impedance of rectangular and circular patch antenna.

7 20

MODULE 6: Microstrip array and feed network ,Application of microstriparray antenna, Mobile phone antenna, base station, hand set antenna

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 GN 6001 RESEARCH METHODOLOGY 2 -0-0:2 2015

Pre-requisites: Nil

Course Objectives:

To get introduced to research philosophy and processes in general. To formulate the research problem and prepare research plan To apply various numerical /quantitative techniques for data analysis To communicate the research findings effectively

Syllabus

Introduction to the Concepts of Research Methodology, Research Proposals, Research Design, DataCollection and Analysis, Quantitative Techniques and Mathematical Modeling, Report Writing

Course Outcome:

Students who successfully complete this course would learn the fundamental concepts ofResearch Methodology, apply the basic aspects of the Research methodology to formulate a researchproblem and its plan. They would also be able to deploy numerical/.quantiative techniques for dataanalysis. They would be equipped with good technical writing and presentation skills.

Text Books:

1. Research Methodology: Methods and Techniques’, by Dr. C. R. Kothari, New Age InternationalPublisher, 2004

2 Research Methodology: A Step by Step Guide for Beginners’ by Ranjit Kumar, SAGE Publications Ltd;Third Edition

Reference Books:

1. Research Methodology: An Introduction for Science & Engineering Students’, by Stuart Melvilleand Wayne Goddard, Juta and Company Ltd, 2004

2. Research Methodology: An Introduction’ by Wayne Goddard and Stuart Melville, Juta andCompany Ltd, 2004

3. Research Methodology, G.C. Ramamurthy, Dream Tech Press, New Delhi4. Management Research Methodology’ by K. N. Krishnaswamy et al, Person Education


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 GN 6001 RESEARCH METHODOLOGY 0-2-0: 2

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1:Introduction to Research Methodology, Concepts of Research,Meaning and Objectives of Research, Research Process, Types of Research,Type of research: Descriptive vs. Analytical, Applied vs. Fundamental,Quantitative vs. Qualitative, and Conceptual vs. Empirical

5 15

MODULE 2:Criteria of Good Research, Research Problem, Selection of aproblem, Techniques involved in definition of a problem, ResearchProposals – Types, contents, Ethical aspects, IPR issues like patenting,copyrights.

4 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3:Meaning, Need and Types of research design, Literature Surveyand Review, Identifying gap areas from literature review, Research DesignProcess, Sampling fundamentals, Measurement and scaling techniques,Data Collection – concept, types and methods, Design of Experiments.

5 15

MODULE 4: Probability distributions, Fundamentals of Statistical analysis,Data Analysis with Statistical Packages, Multivariate methods, Concepts ofcorrelation and regression, Fundamentals of time series analysis andspectral analysis

5 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5:Principles of Thesis Writing, Guidelines for writing reports &papers, Methods of giving references and appendices, Reproduction ofpublished material, Plagiarism, Citation and acknowledgement

5 20

MODULE 6:Documentation and presentation tools – LATEX, OfficeSoftware with basic presentations skills, Use of Internet and advancedsearch techniques

4 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6391 SEMINAR 0-0-2 :2 2015

Each student shall present a seminar on any topic of interest related to the core / elective coursesoffered in the first semester of the M. Tech. Programme. He / she shall select the topic based onthe References: from international journals of repute, preferably IEEE journals. They should get thepaper approved by the Programme Co-ordinator / Faculty member in charge of the seminar andshall present it in the class. Every student shall participate in the seminar. The students shouldundertake a detailed study on the topic and submit a report at the end of the semester. Marks willbe awarded based on the topic, presentation, participation in the seminar and the reportsubmitted.


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6393 COMMUNICATION ENGINEERING

LAB,1 0-0-2: 1 2015

Pre-requisites: Nil

Course Objectives:

To experiment the concepts introduced in the core and elective courses offered in the firstsemester with the help of simulation tools and related hardware. These are minimum requirements; Topics could be added in concurrence with the syllabus.

Syllabus

Tools: MATLAB, AWR or any other equivalent toolsExperiments:

1. Analysis of different distributions:, Uniform, Poisson, Exponential, Gaussian, Rayleigh, Rician, Chisquare.

2. Implementation of various digital modulation schemes, constellation diagram, BER analysis(BPSK,BFSK,QAM,M,ary modulation,QPSK,8,PSK)

3. Simulation and analysis of linear block codes4. Simulation and analysis Convolution codes5. Spectral analysis of speech signal6. MFCC of a Speech signal7. Familiarization of DFT,DCT and DWT of an image and comparison8. Basic processes of an image, Bit plane slicing, edge detection, noise removal9. Familiarization of Antenna design software: Basic antenna design and analysis10. Micro strip antenna design and analysis

Course Outcome

The student will able to design a circuit using the above mentioned software tools.


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6302 Advanced Communication Networks 4-0-0:4 2015

Pre-requisites: Nil

Course Objectives: To understand the basic concepts of wired and wireless networks To get clear understanding of various attributes of networks like QoS

SyllabusOSI/Internet architecture, Transmission-ARQ schemes and analysis - HTTP, SMTP, Telnet, FTP, TCP/IPprotocol stacks, IPV4 and IPV6, Multimedia networkingQOS- Integrated and Differentiated services,Wireless links and Network characteristics, IEEE 802.11 wireless LANs-architecture, protocol, Mobile IP;HIPERLAN, WiMax standard, WPANs –Bluetooth, Zig Bee. Wireless Medium Access Alternatives, Securityconcepts in wireless networks, Cellular infrastructure, VANET, MANET, Multiple radio access protocoland Contention based protocol, multiple division techniques

Course Outcome:

The student will able to evaluate the wired and wireless network requirements.

Text Books:

1. James. F. Kurose and Keith. W. Ross, “Computer Networks: A top-down approach featuringthe Internet”, Pearson Education, 3/e, 2005.

References:

1. Behrouz Forouzan, “Data Communications & Networking”, Tata McGraw-Hill, 20062. William Stallings, “Wireless Communications and networks”, Pearson/Prentice Hall of

India,2ndEd.,2007.3. Dharma Prakash Agrawal & Qing-An Zeng, “Introduction to Wireless and Mobile

Systems”,Thomson India Edition,2nd Ed.,20074. Kaveh Pahlavan, Prashant Krishnamurthy, "Principles of Wireless Networks", Pearson

Education Asia, 2002.5. Ramjee Prasad and Luis Munoz, “WLANs and WPANs towards 4G wireless”, Artech House,

2003.6. Dr Sunilkumar S. Manvi, Mahabaleshwar S. Kakkasageri, “Wireless and Mobile

Networks:Concepts and Protocols”, Wiley India, 2010


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6302 Advanced Communication Networks 4-0-0:4

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: OSI/Internet architecture, Data link layer, Error detection andcorrection, multiple access protocols, Link layer addressing , ReliableTransmission-ARQ schemes and analysis, Applications layer - HTTP,SMTP, Telnet, FTP

10 15

MODULE 2: TCP/IP protocol stacks, Transport layer -TCP and UDP-Congestion control and avoidance, Network layer – IPV4 and IPV6,Routing algorithms, Link state, Distance vector, Hierarchical

9 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Multimedia networking, streaming stored audio and video,protocols for real time interactive applications: Scheduling andpolicing,QOS- Integrated and Differentiated services.

8 15

MODULE 4: Wireless links and Network characteristics, IEEE 802.11wireless LANs-architecture, protocol, framing, MAC layer. Mobilitymanagement principles, Mobile IP; HIPERLAN, WiMax standard, WPANs –Bluetooth, Zig Bee

9 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Wireless Medium Access Alternatives: Fixed-Assignmentaccess for Voice Oriented Networks, Random Access for Data OrientedNetworks,Integration of voice and data traffic, Power Control and powersaving mechanisms , Handoff and Roaming Support , Security concepts inwireless networks

10 20

MODULE 6: Cellular infrastructure, handoff, roaming, VANET, MANET,Multiple radio access protocol and Contention based protocol, multipledivision techniques: FDMA, CDMA, TDMA, and SDMA

10 20

END SEMESTER EXAM



04 EC 6304 MULTICARRIER AND MIMOCOMMUNICATION SYSTEMS 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

• To get an idea about the OFDM systems• To study about the estimation and PAPR of OFDM• To understand the concepts of MIMO• To familiarize the diversity in MIMO Communication

SyllabusOFDM system model Channel capacity and OFDM – FFT implementation – Power spectrum,Channel Estimation in OFDM systems , PAPR reduction techniques with signal distortion; Tchniques fordistortion less PAPR reduction, SISO fading communication channels, MIMO channel modelsCapacity ofMIMO channels, Sources and types of diversitySpace-Time Block Coding (STBC), Space-Time OFDM,Space time receivers. ML, ZF, MMSE and Sphere decoding, BLAST receivers and Diversity multiplexingtrade-off.

Course Outcome:

Students will be able to evaluate the OFDM

Text Books:

1. Y. Li. G. Stuber, “ OFDM for Wireless Communication”, Springer, 2006.2. Ahmad R.S. Bahai, B.R. Saltzberg, M. Ergen, “ Multi carrier Digital Communications- Theory

and Applications of OFDM”, Second Edition, SpringerReferences:

1. David Tse and Pramod Viswanath, “Fundamentals of Wireless Communication”, CambridgeUniversity Press 2005

2. Hamid Jafarkhani, “Space-Time Coding: Theory and Practice”, Cambridge University Press2005

3. Paulraj, R. Nabar and D. Gore, “Introduction to Space-Time Wireless Communications”,4. Cambridge University Press 20035. E.G. Larsson and P. Stoica, “Space-Time Block Coding for Wireless Communications”,6. Cambridge University Press 20087. Ezio Biglieri, Robert Calderbank et al “MIMO Wireless Communications” Cambridge

University Press 20078. Y.S. Cho, J. Kim, W. Y. Yang, C. G. Kang, “MIMO-OFDM Wireless Communications with

MATLAB”, Wiley IEEE Press, 2010.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6304 Multicarrier and MIMO Communication Systems 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Multi carrier and OFDM system fundamentals ,OFDM systemmodel - Comparison with single carrier, Channel capacity and OFDM – FFTimplementation, Power spectrum – Timing and Frequency Offset in OFDM,Timing and Frequency Offset estimation – Pilot and Non pilot basedmethods

7 15

MODULE 2: Channel Estimation in OFDM systems, Differential andCoherent detection, Pilot symbol aided estimation, Block type and Combtype pilot arrangement PAPR properties of OFDM signals

6 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: PAPR reduction techniques with signal distortion ,Techniquesfor distortion less PAPR reduction, Selective mapping and Optimizationtechniques

7 15

MODULE 4: Review of SISO fading communication channels, MIMOchannel models, Classical i.i.d. and extended channels, Frequency selectiveand correlated channel models, Capacity of MIMO channels, Ergodic andoutage capacity. Capacity bounds and Influence of channel properties onthe capacity.

8 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Sources and types of diversity, Analysis under Rayleigh fading,Alamouti space time code , Space-Time Block Coding (STBC)Space-TimeOFDM

7 20

MODULE 6: Space time receivers, ML, ZF, MMSE and Sphere decoding,BLAST receivers and Diversity multiplexing trade-off

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6306 Adaptive Signal Processing Techniques 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

• To get an idea about the adaptive filters and algorithms• To understand the various optimization concepts and algorithms

SyllabusLinear optimum filters, Adaptive filters MMSE, Wiener, Hopf Equations , Error performance surface,Linear Prediction Error Filters. Orthogonality Principle, Linear regression model. Descent Algorithmapplied to the Wiener Filter, Stability of the Steepest-Descent Algorithm,LMS adaptation algorithm, Applications: Convergence analysis of LMS filter. Frequency domain Adaptivefilters, RLS algorithm, Convergence Analysis of RLS Algorithm, Robustness of RLS algorithm.

Course Outcome:

Students will be able to design an adaptive filter

Text Books:

1. Simon Haykin, Adaptive Filter Theory, Pearson Education2. Bernard Widrow, Smuel D stearns, Adaptive Signal Processing, Pearson Education

References:

1. A. Sayed, Adaptive Filters, Wiley,IEEE Press.2. B. Farhang,Boroujeny, Adaptive Filters: Theory and Applications, Wiley.3. John R. Treichler, C. Richard Johnson, Michael G. Larimore, Theory and Design of Adaptive

Filters, Prentice‐Hall of India, 2002


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6306 ADAPTIVE SIGNAL PROCESSING TECHNIQUES 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1:The filtering problem , Linear optimum filters , Adaptive filters, LinearFilter structures , Approaches , Linear Optimum Filtering, ProblemStatement , MMSE,Wiener, Hopf Equations , Error performance surface

7 15

MODULE2:Forward Linear Prediction, Backward Linear Prediction,Levinson,DurbinAlgorithm Properties of Prediction, Error Filters. OrthogonalityPrinciple,Linear regression model.

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Searching the performance surface, Newton’s method,Steepest-Descent Algorithm applied to the Wiener Filter, Stability of theSteepest-Descent Algorithm, Virtue and Limitation of the Steepest-Descent Algorithm.

7 15

MODULE 4: LMS adaptation algorithm, Applications: Adaptivedeconvolution, Adaptive Noise cancelling, Adaptive Beam forming,Comparison of LMS algorithm with Steepest Descent Algorithm,Convergence analysis of LMS filter.

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Normalized LMS algorithm, Block LMS Algorithm,Frequency domain Adaptive filters, Method of Least Squares, NormalEquations and Linear Least Squares Filters, Time average CorrelationMatrix – Matrix Inversion Lemma

7 20

MODULE 6: RLS algorithm, example “single weight adaptive noisecancellor”, Convergence Analysis of RLS Algorithm, Robustness of RLSalgorithm

7 20

END SEMESTER EXAM



04 EC 6308ADVANCED WIRELESS AND MOBILE

COMMUNICATION SYSTEM 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

• To get an idea about the wireless and cellular systems• To study about the various concepts of UMTS• To get an insight to LTE and its advancements

SyllabusWireless Channel Models path loss and shadowing models, Diversity ,Combining methods , MultipleAccess Analysis Spectral efficiency and Grade of Service, Improving capacity Cell splitting andsectorization. Spread spectrum and CDMA systems, GSM GPRS and EDGE systems. Concepts of UMTS, ,The UMTS Terrestrial Radio Access Network (UTRAN) , High-Speed Downlink Packet Access (HSDPA) andHSPA, LTE Security Architecture, Interconnection with UMTS and GSM, Voice over LTE (VoLTE) LTE-Advanced (3GPP Release 10–12)

Course Outcome:

On successful completion of the course students will be able to :1. Understand the concepts of fading and evaluate their performance on the basis of BER2. Analyze the parameters by which the efficiency of cellular system can be enhanced.3. Understand the various aspects of Universal Mobile Telecommunications System (UMTS) and

High, Speed Packet Access (HSPA)Comprehend the features of Long term evaluation.

Text Books:

1. Andrea Goldsmith, “Wireless Communications”, Cambridge University press, 20082. Martin Sauter From GSM to LTE-Advanced: An Introduction to Mobile Networks and Mobile

Broadband, Revised Second Edition, Wiley 2014

References:

1. T.S. Rappaport, “Wireless Communication, Principles & Practice”, Pearson Education, 2010.


COURSE PLAN


04 EC 6308ADVANCED WIRELESS AND MOBILE

COMMUNICATION SYSTEM3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Fading and Diversity: Wireless Channel Models path lossand shadowing models ,Statistical fading models Narrow band andwideband fading models.BER Performance in Fading Channels, DiversityTime diversity

7 15

MODULE 2: Frequency and Space diversity, Receive diversity, Conceptof diversity branches and signal paths, Performance gains, Combiningmethods Selective combining, Maximal ratio combining, Equal gaincombining, Transmit Diversity, Alamouti Scheme

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Cellular Communication: Cellular Networks, Multiple Access:FDM/TDM/FDMA/TDMA Spatial reuse, Co channel interferenceanalysis, Hand off, Erlang Capacity Analysis Spectral efficiency andGrade of Service, Improving capacity Cell splitting and sectorization.

7 15

MODULE 4: Over view of Spread spectrum and CDMA systems, Overviewof GSM GPRS and EDGE systems (Basic study only)Overview, History,Important new Concepts of UMTS, Code Division Multiple Access,UMTSChannel Structure on the Air Interface, The UMTS Terrestrial RadioAccess Network (UTRAN)Core Network Mobility Management

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Radio Network Mobility Management, UMTS CS and PS CallEstablishment ,UMTS Security, High-Speed Downlink Packet Access(HSDPA) and HSPA+, High-Speed Uplink Packet Access (HSUPA),HSPAPerformance in Practice UMTS and CDMA2000

6 20

MODULE 6: TD-LTE Air Interface, Scheduling, Basic Procedures, MobilityManagement and Power Optimization, LTE Security Architecture,Interconnection with UMTS and GSM, Interworking with CDMA2000Networks, Network Planning Aspects, CS-Fallback for Voice and SMSServices with LTE , Voice over LTE (VoLTE) LTE-Advanced (3GPP Release10–12)

8 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6312 MODERN SATELLITE SYSTEMS 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

• To get an idea about the mobile satellite systems• To study about the various modulations and coding• To get a clear understanding of the various satellite antenna• To study about various broadcast system

SyllabusMobile Satellite System Architecture Availability Considerations for Non-Geostationary Satellites,Spectrum Issues, Radio Frequency (RF) Links and Bandwidth in Satellite Communications. ConventionalDigital Modulation Schemes, Coded Orthogonal Frequency Division Multiplexing (COFDM) ModulationSystems, Spread Spectrum Modulation, Multiple Access Schemes Antennas, Hand-Held UT, MobileTerminals. Satellites for MSS, Radio Resource Management- Spectrum Management, EIRP Management,Satellite Antenna Characteristics –Parabolic Satellite Antenna. Multibeam Antennas. Phased ArrayAntennas. Mobile Satellite Broadcast Systems Little-LEO Systems, Mobile Satellite Systems in FutureNetworks.

Course Outcome:

Students will be able to analyze the requirements of mobile satellite systems.

Text Books:

1. Mobile Satellite Communications: Principles and Trends- Madhavendra Richharia, 2nd Edition,March 2014

References:

1. Satellite Communications Network Design and Analysis- Kenneth Y. Jo, Artech House Publishers,2011


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6312 Modern Satellite systems 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Mobile Satellite System Architecture, SatelliteConstellations, Considerations in Constellation Design, PolarConstellations Inclined Orbit Constellations, Hybrid Constellations,Regional Coverage, Constellations for Non-Real-Time Systems, Useof Spot Beams, Availability Considerations for Non-GeostationarySatellites

7 15

MODULE 2: Mobile Satellite System Architecture, SatelliteConstellations, Considerations in Constellation Design, PolarConstellations Inclined Orbit Constellations, Hybrid Constellations,Regional Coverage, Constellations for Non-Real-Time Systems Useof Spot Beams, Availability Considerations for Non-GeostationarySatellites, Radio Link: Spectrum Issues, Radio Frequency (RF) Linksand Bandwidth in Satellite Communications. End-to-End Analysis ofCombined Uplink and Downlink, Noises in SatelliteCommunications. Effect of Environmental Factors on LinkPerformance

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Modulation, Coding, Multiple Access and userterminals ,Modulation, PSK Schemes, Performance Comparison ofConventional Digital Modulation Schemes, Coded OrthogonalFrequency Division Multiplexing (COFDM) Modulation Systems

7 15

MODULE 4: Spread Spectrum Modulation, Coding:- Trellis-CodedModulation (TCM),Modulation and Coding Trends and Issues,Automatic Repeat Request, Multiple Access Schemes:- Comparisonof Multiple Access Schemes, Comparison of Spectral and PowerEfficiency, User Terminals:- Antennas, Hand-Held UT, MobileTerminals

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Satellites for MSS, Intersatellite links, LaunchingSatellite Constellations, Radio Resource Management- SpectrumManagement, EIRP Management, and Satellite Antenna

7 20


Characteristics – Antenna Footprints. Spot Beam Contour as theIntersection of Cone and Sphere. Parabolic Satellite Antenna.Multibeam Antennas. Phased Array AntennasMODULE 6: Mobile Satellite Broadcast Systems:- SystemRequirements, System Configuration, Space Segment, TransmissionTechnology, The Future Techniques:- Capacity EnhancementTechniques, System Architecture, Enabling Concepts andTechnologies, Little-LEO Systems, Mobile Satellite Systems inFuture Networks

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6314 RF Microelectronics 3-0-0:3 2015

Pre-requisites:Nil

Course Objectives:

To get an idea about RF design To study about the design about LNA and mixers To understand the oscillators and PLL

SyllabusEffects of Nonlinearity: Noise as a random process Passive Impedance. Transformation, .Low-NoiseAmplifiers: LNA Topologies: Variants of Common-Gate LNA., Noise-Cancelling LNAs, Reactance-Cancelling LNAs, Gain Switching, Band switching.Mixers an types of mixers, Oscillators Voltage-Controlled Oscillators:. LC VCOs with Wide Tuning Range:. Phase Noise: Basic concepts, effect of PhaseNoise, Figures of Merit of VCOs. Phase-Locked Loops. Type-I PLLs Effects of High Currents, Efficiency,Linearity, Single ended and differential PAs. Classification of Power Amplifiers: High-Efficiency PowerAmplifiers.

Course Outcome:

The student will able to identify the requirements of RF circuit design.

Text Books:1. RF Microelectronics by Behzad Razavi, 2nd Edition (2012) (Publisher: Pearson), ISBN-10:

8131790452,.

References:1. The Design Of CMOS Radio-Frequency Integrated Circuits by Thomas H. Lee, 2nd Edition (2006)

(Publisher: Cambridge University Press), ISBN-10: 0521613892.2. Reinhold Ludwig & Gene Bogdanov, “RF Circuit Design – Theory and Applications”, 2nd Ed.,

Pearson Education., 2009.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6314 RF Microelectronics 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: General Considerations. Effects of Nonlinearity: HarmonicdistortionGain compression, cross modulation, intermodulation, cascaded nonlinearstages, AM/PM,conversion.Noise :Noise as a random process, Noisespectrum, effect of transfer function on noise, device, noise,representation of noise in circuit,

7 15

MODULE 2: Sensitivity and Dynamic Range. Passive ImpedanceTransformation: Quality Factor, Series-to-parallel conversion, Basicmatching networks, loss in matching networks.Low-Noise Amplifiers:General Considerations. Problem of Input Matching, LNA Topologies:Common-Source Stage with inductive load, Common-Source Stage withresistive feedback,Common-Gate Stage, Cascode CS Stage with Inductivedegeneration, Variants of Common-Gate,LNA.,Noise-Cancelling LNAs,Reactance-Cancelling LNAs, Gain Switching, Band switching.

8 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Mixers: General Considerations: Performance Parameter ,Mixer Noise Figures , Single-Balanced and Double-Balanced Mixers. PassiveDown conversion Mixers:Gain , LO Self-Mixing, Noise, Input Impedance,Current -Driven Passive Mixers.

7 15

MODULE 4: Active Down conversion Mixers: Conversion Gain, Noise inActive Mixers, Linearity, Oscillators: Performance Parameters. BasicPrinciples: Feedback view of oscillators, one port , view of oscillators.Cross-Coupled Oscillator.Three-Point Oscillators. Voltage-ControlledOscillators: Tuning range , Limitations, effect of varactor Q.

6 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: LC VCOs with Wide Tuning Range: VCOs with continuoustuning, Amplitude Variation with frequency tuning, Discrete tuning. PhaseNoise: Basic concepts, effect of Phase Noise, Figures of Merit of VCOs.Design, Procedure: Low-Noise VCOs.

5 20


MODULE 6: Phase-Locked Loops. Basic concepts: Phase Detector. Type-IPLLs: Allignment of a VCOs Phase, Simple PLL, Analysis of Simple PLL, LoopDynamics, Frequency Multiplication, Drewbacks of simple PLL. GeneralConsiderations: Effects of High Currents, Efficiency, Linearity, Single endedand differential PAs. Classification of Power Amplifiers: Class A PowerAmplifiers, Class B Power Amplifiers, Class C Power Amplifiers, High-Efficiency Power Amplifiers: Class A stage with Harmonic Enhancement,Class E stage, Class F Power amplifiers. Cascode Output Stages.

9 20

END SEMESTER EXAM



04 EC 6316 MULTIMEDIA COMPRESSIONTECHNIQUES 3-0-0: 3 2015

Pre-requisites: Nil

Course Objectives:

To get an idea about the need of compression techniques To study the various techniques associated with image, audio text and videos compression To study about the various standards in this domain

SyllabusFundamental Concepts in Video and Digital Audio – Storage requirements for multimedia applications -Taxonomy of compression techniques source coding, source models, Text compression: – Dictionarybased compression techniques. Audio compression techniques - Application to speech coding Silencecompression, speech compression techniques .Contour based compression – Transform Coding – JPEGStandard Design of Filter banks – Wavelet based compression Video compression techniques andstandards – Motion estimation and compensation techniques DVI real time compression – Packet Video.

Course Outcome:

The student will able to apply the suitable compression techniques

Text Books:

1. Mark S.Drew, Ze-Nian Li, “Fundamentals of Multimedia” PHI, 1st Edition, 20032. Khalid Sayood, “Introduction to Data Compression”, Morgan Kauffman Harcourt India, 2nd

Edition, 2000.3. David Solomon, “Data Compression, The complete reference”, Springer Verlag New York

INC, 2nd edition 2001.

References:

1. Peter Symes, “Digital Video Compression”, McGraw Hill Pub., 2004.2. Mark Nelson, “Data compression”, BPB Publishers, New Delhi,1998.3. Yun A Shi, Huifang Sun, “Image & Video compression for Multimedia Engineering,

Fundamentals, Algorithms & Standards, CRC Press, 2003.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6316 MULTIMEDIA COMPRESSION TECHNIQUES 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Multimedia – Graphics and Image Data Representations –Fundamental Concepts in Video and Digital Audio, Storage requirementsfor multimedia applications ,Need for Compression , Taxonomy ofcompression techniques Overview of source coding, source models,scalar and vector quantization theory Evaluation techniques – Erroranalysis and methodologies

7 15

MODULE 2: Text compression: Compaction techniques – Huffman coding– Adaptive Huffman Coding – Arithmetic coding – Shannon, Fano coding– Dictionary techniques LZW family algorithms µ, Law and A, Lawcompanding.Speech compression, waveform codecs, source codecs, hybrid codecs,Shorten compressor, Frequency domain and filtering

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Audio compression techniques Basic sub, band coding –Application to speech coding – G.722 Application to audio coding – MPEGaudio, progressive encoding for audio Silence compression, speechcompression techniques – Formant and CELP Vocoders.

7 15

MODULE 4: Predictive techniques: DM, PCM, DPCM: Optimal Predictorsand Optimal Quantization– Contour based compression TransformCoding – JPEG Standard – Sub band coding algorithms: Design of Filterbanks Wavelet based compression: Implementation using filters –

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: EZW, SPIHT coders – JPEG 2000 standards – JBIG, JBIG2StandardsVideo compression techniques and standards – MPEG Video Coding I:MPEG – 1 and 2 MPEG Video Coding II: MPEG – 4 and 7

8 20

MODULE 6: Motion estimation and compensation techniques – H.261Standard –DVI technology , PLV performance – DVI real timecompression – Packet Video. 6 20

END SEMESTER EXAM



04 EC 6318 ELECTROMAGNETIC COMPATIBILITYAND INTERFERENCE 3-0-0: 3 2015

Pre-requisites: Nil

Course Objectives:

To get an idea about the need of EMI/EMC and its effects To study about the various control techniques for EMI To understand the various standards and measurements

SyllabusBasic concepts of EMI/EMCElements of Interference, Various issues of EMC, Application.Sources ofElectromagnetic noise, electrostatic discharge (ESD), electromagnetic pulse (EMP). Electromagneticemissions, EMI from power electronic equipment, EMI as combination of radiation and conduction.OATS measurements. Shielding Filtering- Characteristics of Filters- Grounding- Isolation transformer,TEM cell; EMI test shielded chamber and shielded ferrite lined anechoic chamber; Tx /Rx Antennas,Sensors, Injectors / Couplers, and coupling factors; Civilian standards Military standards comparisons. ENEmission and Susceptibility standards and Specifications.

Course Outcome:

The student will able to identify the requirements of RF circuit design.

1. Understand the needs of EMI/EMC and its effects

2. Compare various control techniques for EMI

3. Analyze the various standards and measurements

Text Books:

1. 1.P.Kodali, “Engineering EMC Principles, Measurements and Technologies”, IEEE Press, Newyork,1996.

2. Clayton R.Paul,” Introduction to Electromagnetic Compatibility”, John Wiley Publications, 2008References:

1. Henry W.Ott.,”Noise Reduction Techniques in Electronic Systems”, A Wiley Inter SciencePublications, John Wiley and Sons, Newyork, 1988.

2. Bemhard Keiser, “Principles of Electromagnetic Compatibility”, 3rd Ed, Artech house


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6318 Electromagnetic Compatibility and Interference 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Basic concepts of EMI/EMC, Need, Concerns aboutregulations and standards. EMI in analog circuits, Basic noise entrymodes for the analog circuits. Intra and inter system EMI, Elements ofInterference, Sources and Victims of EMI, Conducted and Radiated EMIemission and susceptibility, Radiation hazards to humans, Various issuesof EMC, EMC Testing categories EMC Engineering Application.

7 15

MODULE 2: Sources of Electromagnetic noise, typical noise paths, modesof noise coupling, designing for EM compatibility, lightening discharge,electrostatic discharge (ESD), electromagnetic pulse(EMP)Electromagnetic emissions, noise form relays and switches,non,linearity in circuits, passive inter modulation, transients in powersupply lines, EMI from power electronic equipment,EMI as combinationof radiation and conduction.

9 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Open area test sites: OATS measurements, measurementprecautions Shielding. Shielding Material Shielding integrity atdiscontinuities .Filtering, Characteristics of Filters, Impedance andLumped element filters,Telephone line filter, Power line filter design.

7 15

MODULE 4: Filter installation and Evaluation, Grounding, Measurementof Ground resistance, System grounding for EMI/EMC, Cable shieldedgrounding, Bonding, Isolation transformer, Transient suppressors, Cablerouting, Signal control. EMI gaskets

6 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Open area test site; TEM cell; EMI test shielded chamber andshielded ferrite lined anechoic chamber; Tx /Rx Antennas, Sensors,Injectors / Couplers, and coupling factors , EMI Rx and spectrum analyzer

7 20

MODULE 6: Civilian standards, CISPR, FCC, IEC, EN; Military standards,MIL461E/462.Frequency assignment , spectrum conversation. British VDEstandards, Euro norms standards in Japan comparisons.EN Emission andSusceptibility standards and Specification

6 20

END SEMESTER EXAM



04 EC 6322ESTIMATION AND DETECTION

3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To get an idea about the detection and estimation To study about the estimation techniques available

SyllabusHypothesis Testing: Composite Hypothesis Testing: Generalized likelihood ratio test (GLRT), Cramer-RaoLower Bound, Linear Modeling-Examples, Sufficient Statistics, Use of Sufficient Statistics to find the MVUEstimator ,Deterministic Parameter Estimation: Likelihood and Maximum Likelihood Estimation,Random Parameter Estimation:, Minimum Mean Square Error Estimator, Maximum a PosterioriEstimation.

Course Outcome:

The student will able to compare the various estimation techniques available

Text Books:

1. M D Srinath, P K Rajasekaran, R Viswanathan, Introduction to Statistical Signal Processing withApplications, “Pearson”

2. Ralph D. Hippenstiel, “Detection Theory- Applications and Digital Signal Processing”, CRC Press,2002.

References:

1. Steven M. Kay, “Statistical Signal Processing: Vol. 1: Estimation Theory, Vol. 2: DetectionTheory," Prentice Hall Inc., 1998.

2. Jerry M. Mendel, “Lessons in Estimation Theory for Signal Processing, Communication andControl," Prentice Hall Inc., 1995

3. Bernard C. Levy, “Principles of Signal Detection and Parameter Estimation”, Springer, New York,2008.

4. Harry L. Van Trees, “Detection, Estimation and Modulation Theory, Part 1 and 2," John Wiley &Sons Inc. 1968.

5. Neel A. Macmillan and C. Douglas Creelman, “Detection Theory: A User's Guide (Sec. Edn.)”Lawrence Erlbaum Associates Publishers, USA, 2004.

6. Monson H. Hayes, “Statistical Digital Signal Processing and Modelling," John Wiley & Sons Inc.,1996.


COURSE PLAN


04 EC 6322 ESTIMATION AND DETECTION 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Hypothesis Testing: Bayes’ Detection, MAP Detection, MLDetection, Minimum Probability of Error Criterion, Min ,Max Criterion,Neyman, Pearson Criterion, Multiple Hypothesis, Composite HypothesisTesting: Generalized likelihood ratio test (GLRT)

7 15

MODULE 2: Receiver Operating Characteristic Curves .Role of Estimationin Signal Processing, Unbiased Estimation, Minimum varianceunbiased(MVU) estimators, Finding MVU Estimators, Cramer, Rao LowerBound,

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Linear Modelling, Examples Sufficient Statistics, Use ofSufficient Statistics to find the MVU Estimator

7 15

MODULE 4: Deterministic Parameter Estimation: Least SquaresEstimation, Batch Processing, Recursive Least Squares Estimation, BestLinear Unbiased Estimation

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Likelihood and Maximum Likelihood Estimation, RandomParameter Estimation: Bayesian Philosophy, Selection of a Prior PDF

7 20

MODULE 6: Bayesian linear model, Minimum Mean Square ErrorEstimator, Maximum a Posteriori Estimation

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6324 NEURAL NETWORKS AND APPLICATIONS 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To learn the various neural networks and model To study the various applications of these models to solve engineering problems.

SyllabusNeuro-computing: Taxonomy of neural networks, Basic data structures: principal components, Multi-Layer Perceptrons. Supervised Learning. Back-Propagation Learning law. Fast trainingalgorithms.Unsupervised Learning. Local learning laws. Generalised Hebbian Algorithm. Principalcomponent analysis- Karhunen-Loeve transform, Competitive Learning: MinNet and MaxNet networks.Clustering. Self-Organising Feature Maps: Kohonen networks. Radial-Basis function networks: R.Recurrent networks: Hopfield networks.

Course Outcome:

The student will able to apply the neural networks appropriately

Text Books:

1. Simon Haykin, Neural Networks, A Comprehensive Foundation, Prentice Hall, 2nd ed., 1999,ISBN 0-13-273350-1

References:

1. Martin T. Hagan,. H. Demuth,M. Beale, Neural Network Design, PWS Publishing, 1996, ISBN 0-534-94332-2


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6324 Neural Networks and Applications 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Basic concepts of neuro, computing: ANNs as numericaldata/signal/image processing devices,Encoding (training phase) anddecoding (active phase),Taxonomy of neural networks: feedforward andrecurrent networks with supervised and unsupervised learning laws.

7 15

MODULE 2: Static and dynamic processing systems. Basic datastructures,Mapping of vector spaces, clusters, principal components.Perceptron: The Perceptron and its learning law. Classification of linearlyseparable patterns.

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Linear Networks: Linear regression. The Wiener, Hopfequation. The Least,Mean,Square (Widrow,Hoff) learning algorithm,Method of steepest descent. Adaline as a linear adaptive filter.

7 15

MODULE 4: Multi,Layer Feedforward Neural Networks: Multi,LayerPerceptrons. Supervised Learning. Approximation and interpolation offunctions,Back,Propagation Learning law. Fast trainingalgorithms.Self,Organising systems: Unsupervised Learning

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Local learning laws. Generalised Hebbian Algorithm.Principal component analysis, Karhunen,Loeve transform,CompetitiveLearning: MinNet and MaxNet networks. Clustering.

7 20

MODULE 6: 20

END SEMESTER EXAM



04 EC 6326Computational Electromagnetics

3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To study the basic concepts related to electromagnetic field Illustrate the most common numerical techniques adopted for the electromagnetic modeling of

microwave and millimeter-wave circuits and antennas.

SyllabusElectromagnetic Fields, Maxwell's Equations,. Finite-Difference Time-Domain (FDTD) MethodFinite Element Method (FEM), Field Computations, Electromagnetic - Thermal And Electromagnetic -Structural Coupled Computations.Low Frequency And High Frequency Electrical Devices, TransientProblems In Transformers, Rotating Machines, Waveguides, Antennas, Scatterers.

Course Outcome:

The student will able to identify common numerical techniques adopted for the electromagneticmodeling of microwave and millimeter, wave circuits and antennas

Text Books:

1. M. V. K. Chari AndS. J. Salon, Numerical Methods in Electromagnetism, Academic Press, 2000.2. M. N. O. Sadiku, Numerical Techniques in Electromagnetics, CRC Press, 1992.

References:

1. N. Ida, Numerical Modeling for Electromagnetic Non-Destructive Evaluation, Chapman and Hall,1995.

2. S. R. H. Hoole, Computer Aided Analysis and Design of Electromagnetic Devices, Elsevier SciencePublishing Co., 1989.

3. J. Jin, The Finite Element Method In Electromagnetics, 2nd Ed., John Wiley And Sons, 2002.4. P. P. SilvesterAnd R. L. Ferrari, Finite Elements For Electrical Engineers, 3rd Ed., Cambridge

University Press, 1996.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 6326 Computational Electromagnetics 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Introduction to Electromagnetic Fields: Review OfVector Analysis, Electric And Magnetic Potentials, BoundaryConditions, Maxwell's Equations, Diffusion Equation, Wave equationand propagation

7 15

MODULE 2: Greens function, Linear algebra for computational EM,Finite ,Difference Time, Domain (FDTD) Method

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Finite Element Method (FEM): Overview of FEM,Variational and Galerkin Methods, Shape Functions, Lower AndHigher Order Elements, Vector Elements

7 15

MODULE 4: Special Topics: Hybrid Methods, Coupled Circuit, FieldComputations, Electromagnetic , Thermal And Electromagnetic

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Structural Coupled Computations, Solution of Equations.Applications: Low Frequency And High Frequency Electrical Devices,

7 20

MODULE 6: Static / Time,Harmonic / Transient Problems InTransformers, Rotating Machines, Waveguides, Antennas,Scatterers.

7 20

END SEMESTER EXAM

COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6392 Mini Project 0-0-4: 2 2015

Mini project is designed to develop practical ability and knowledge about practical tools/techniques inorder to solve the actual problems related to the industry, academic institutions or similar area.Students can take up any application level/system level project pertaining to a relevant domain. Projectscan be chosen either from the list provided by the faculty or in the field of interest of the student. Forexternal projects, students should obtain prior permission after submitting the details to the guide andsynopsis of the work. The project guide should have a minimum qualification of ME/M.Tech in relevantfield of work. At the end of each phase, presentation and demonstration of the project should beconducted, which will be evaluated by a panel of examiners. A detailed project report duly approved bythe guide in the prescribed format should be submitted by the student for final evaluation. Publishing


the work in Conference Proceedings/ Journals with National/ International status with the consent ofthe guide will carry an additional weightage in the review process.

COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 6394 COMMUNICATION ENGINEERING LAB II 0-0-2: 1 2015

Pre-requisites: Nil

Course Objectives:

To experiment the concepts introduced in the core and elective courses offered in the second semesterwith the help of simulation tools and related hardware. These are minimum requirements; Topics couldbe added in concurrence with the syllabus.

Syllabus

Tools: MATLAB, NS2 or OPTNETExperiments:

1. Familiarization of Network simulation tools like NS2.2. Routing protocols for wired networks- Link state, Distance Vector,3. Routing protocols for wireless networks- AODV,DSR4. Comparison of TCP and UDP and its performance analysis5. OFDM system simulation and its BER performance.6. Implementation of a MIMO system.7. Implementation of basic LMS and RLS algorithm.

Course Outcome

The student will able to design a circuit using the above mentioned software tools.


SUMMER BREAK


04 EC 7390 INDUSTRIAL TRAINING 0-0-4 :Pass/Fail 2015

Semester III


04 EC 7301 Wireless Adhoc and Sensor Networks 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To study the basic concepts of wireless cellular, ad hoc and sensor networks To understand the impact on routing protocols, application performance, quality of service

guarantees, and security

SyllabusMobile ad hoc networks (MANETs) and wireless sensor networks (WSNs), concepts and architectures.Routing in Wireless Networks Broadcasting and multicasting: TCP over mobile ad hoc networks WirelessLAN (WiFi) Medium Access Control Protocol. Bluetooth, WSN Network architecture. WSN MAC layerstrategies: MAC layer protocols, WSN naming and addressing: WSN Clock Synchronization, SN NodeLocalization, WSN Routing: Agent-based routing, random walk, trace routing.

Course Outcome: The student will be able to

1. Identify the next generation of ad hoc networks and the proliferation of ubiquitous computing2. Understand sensor networks and the unique set of design challenges that they introduce

Text Books:

1. C. Siva Ram Murthy and B. S. Manoj, “Ad Hoc Wireless Networks: Architectures andProtocols”,Pearson Education, Inc., 2005.

References:

1. Charles E Perkins, “Ad Hoc Networking”, Addison Wesley, 2001


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7301 Wireless Adhoc and Sensor Networks 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Introduction: mobile ad hoc networks (MANETs) and wirelesssensor networks (WSNs), concepts and architectures. Routing in WirelessNetworks: proactive routing, reactive routing (on,demand) Routing inWireless Networks: hybrid routing, power,aware routing

7 15

MODULE 2: Broadcasting and multicasting: broadcast storm, networkflooding avoidance, multicast routing.TCP over mobile ad hoc networks:IP address acquisition, Effects of partitions on TCP, provisions for mobilityand fairness.

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Wireless LAN (WiFi): 802.11 specifications, Medium AccessControl Protocol issues; power control, spatial reusability, and QoS.Bluetooth: specifications, Piconet synchronization and master, slaveswitch, scatternet formations, interference issues, interoperability withWiFi.

7 15

MODULE 4: Wireless sensor networks (WSNs): single node architecture:hardware and software components of a sensor node. WSN Networkarchitecture: typical network architectures, data relaying strategies,aggregation, role of energy in routing decisions.

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Wireless sensor networks (WSNs): single node architecture:hardware and software components of a sensor node. WSN Networkarchitecture: typical network architectures, data relaying strategies,aggregation, role of energy in routing decisions.

7 20

MODULE 6: WSN Clock Synchronization: clustering for synchronization,sender, receiver and receiver, receiver synchronization.WSN Routing:Agent, based routing, random walk, trace routing.SN Node Localization:absolute and relative localization, triangulation, multi, hop localizationand error analysis, anchoring, geographic localization.

7 20

END SEMESTER EXAM



04 EC 7303Communication Switching &

Multiplexing 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To learn Switching, Signaling and traffic in the context of telecommunication network. To study the basic concepts of multiplexing.

SyllabusPacket switches‐ Circuit switches.Time and Space division switching , Cross network, Generalized circuitswitching‐ Cross Point Complexity (CPC), Traffic analysis: Erlang‐B formula, Little’s theorem, Erlang‐Cformula , M/G/1 model. Blocking probability: Alternate path routing‐ The Lee approximation – TheJacobaeus method. Multiplexing: circuit multiplexed networks. Statistical multiplexing, Models forperformance analysis of integrated packet networks, Models for traffic flow in packet networks andlong range dependence

Course Outcome:

The student will be able to understand the various methods employed in switching and multiplexing invarious forms of networks.

Text Books:

1. A. Kumar, D. Manjunath, J. Kuri, Communication Networking: An Analytical Approach, MorganKaufman Publishers.References:

1. Hui, J.Y., Switching and Traffic Theory for Integrated Broadband Networks, Kluwer


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7303 Communication Switching & Multiplexing 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Switching: Performance and architectural issues: Packetswitches‐ Circuit switches. Time and Space division switching‐ Point topoint circuit switching ‐ multistage switching network, Paull’s matrix forrepresenting connections ‐ Strict sense nonblocking Cross network.Generalized circuit switching‐ Cross Point Complexity (CPC)

7 15

MODULE 2: Fast packet switching‐Self routing Banyan networks‐Combinatorial limitations of Banyan networks. Types of blocking for apacket switch‐ Output conflicts‐ HOL blocking. Traffic analysis: Trafficmeasurements, arrival distributions, Poisson process, holding/servicetime distributions, loss systems, lost calls cleared

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Erlang‐B formula, lost calls returning and lost calls heldmodels, lost calls cleared and held models with finite sources, delaysystems, Little’s theorem, Erlang‐C formula , M/G/1 model. Blockingprobability: Analysis of single stage and multistage networks –Blockingfor Unique path routing‐ Alternate path routing‐ The Lee approximation –The Jacobaeus method.

7 15

MODULE 4: Multiplexing: Network performance and sourcecharacterization, Stream sessions in packet networks, Deterministicanalysis, Stochastic analysis

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Circuit multiplexed networks, Statistical multiplexing:blocking analysis in circuit multiplexed networks, with single rate ormultirate traffic

7 20

MODULE 6: Models for performance analysis of integrated packetnetworks; deterministic models, worst case analysis; Stochastic models,large deviations analysis. The effective Bandwidth approach forAdmission control , Models for traffic flow in packet networks, long rangedependence and self similar processes.

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7305 CLOUD COMPUTING 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To provide an end-to-end coverage of fundamental cloud computing topics as they pertain toboth technology and business considerations.

To get a clear understanding of various storage, security and availability mechanism available incloud architecture.

SyllabusPrivate, public and hybrid cloud. Cloud types, Next generation Cloud Applications. NAS and FC SANs,hybrid storage networking technologies (iSCSI, FCIP, FCoE), Cloud Optimized Storage, Replication in NASand SAN environments. Data archiving solutions Cryptographic Systems: Symmetric cryptography, digitalsignatures, public-key infrastructures, key management, X.509 certificates, Open SSL.

Course Outcome:


1. Understanding the systems, protocols and mechanisms to support cloud computing .2. Develop applications for cloud computing3. Understanding the hardware necessary for cloud computing4. Design and implement a novel cloud computing application

Text Books:

1. Gautam Shroff, Enterprise Cloud Computing Technology Architecture Applications [ISBN: 978-0521137355]

2. Nick Antonopoulos, Lee Gillame, “Cloud Computing-Principles, Systems and Application”,Springer,2010. ISBN: 978-1-84996-241-4

References:

1. Toby Velte, Anthony Velte, Robert Elsenpeter, Cloud Computing, A Practical Approach [ISBN:0071626948]

2. Greg Schulz , “Cloud and Virtual Data Storage Networking” ,Auerbach Publications,2011,ISBN:978-1-43985-173-9

3. Volker Herminghaus, Albrecht Scriba, Storage Management in Data Centers [ISBN: 978-3540850229]


eCOURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7305 Cloud Computing 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Cloud Computing definition, private, public and hybrid cloud.Cloud types; IaaS, PaaS, SaaS. Benefits and challenges of cloud computing,public vs private clouds, role of virtualization in enabling the cloud;Application availability, performance, security and disaster recovery; nextgeneration Cloud applications. Cloud Applications: Technologies and theprocesses required when deploying web services

7 15

MODULE 2: Architecture of storage, analysis and planning. Storagenetwork design considerations; NAS and FC SANs, hybrid storagenetworking technologies (iSCSI, FCIP, FCoE), Design for storagevirtualization in cloud computing, host system design considerations.

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Cloud Optimized Storage: Global storage managementlocations, scalability, and operational efficiency. Designingbackup/recovery solutions to guarantee data availability in a virtualizedenvironment.

7 15

MODULE 4: Design a replication solution, local remote and advanced.Investigate Replication in NAS and SAN environments .Data archivingsolutions; analyzing compliance and archiving design considerations.

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Confidentiality, privacy, integrity, authentication,non,repudiation, availability, access control, defense.User authenticationin the cloud

7 20

MODULE 6: Cryptographic Systems: Symmetric cryptography, streamciphers, block ciphers,modes of operation, public,key cryptography.Hashing, digital signatures, public,key infrastructures, key management,X.509 certificates, OpenSSL.

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7307 Microwave Integrated Circuits Design 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To understand about microwave distributed circuit elements. To study about RF and Microwave circuit elements.

SyllabusMonolithic Microwave Integrated Circuits (MMICs) Encapsulation and mounting of active devices.Microstrips on semiconductor substrates. Effective dielectric constant for microstrip, Losses inMicrostrip. Use of Lumped Elements, Capacitive elements, Inductive elements and Resistive elements,.Schottky Barrier diode, Pin diode, Varactor diode –Bipolars, MESFETs and HEMTs ,MIC measurementsystem, measurement techniques –MIC applications

Course Outcome:

The student will be able to Design and fabricate different lumped elements and nonreciprocalcomponents.

Text Books:

1. Microwave Integrated circuit, K. C. Gupta.

References:

1. Microwave Devices & Circuits 3/e, Samuel Y. Liao.2. Microstrip lines and Slot lines, K.C. Gupta, R. Garg. , I. Bahl, P. Bhartia, Artech House, Boston,

1996.3. Stripline-like Transmission lines for Microwave Integrated circuits, B. Bhat, S. K. Koul, Wiley

Eastern Ltd., New Delhi.4. Microwave Integrated Circuits, By Ivan Kneppo, J. Fabian, P. Bezousek


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7307 Microwave Integrated Circuit Design 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Introduction to Monolithic Microwave Integrated Circuits(MMICs), their advantages over discrete circuits, MIC fabricationtechniques, Thick and Thin film technologies Materials, encapsulation andmounting of active devices.

7 15

MODULE 2: Microstrips on semiconductor substrates. Planar transmissionlines for MICs , Method of Conformal transformation for microstripanalysis, concept of effective dielectric constant

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Effective dielectric constant for microstrip, Losses inMicrostrip.Slot Line Approximate analysis and field distribution, Transverseresonance method and evaluation of slot line impedance,

7 15

MODULE 4: Comparison with microstrip line.Lumped Elements for MICs ,Use of Lumped Elements,Capacitive elements, Inductive elements andResistive elements

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Microwave Solid – State Active Devices for MICs , SchottkyBarrier diode, Pin diode, Varactor diode – structure , characteristics ,operation, equivalent circuit , gain expression and output power efficiencyand applications.Bipolars, MESFETs and HEMTs

7 20

MODULE 6: MIC measurement system,MIC measurement techniques – Sparameter measurement, Noise measurement, MIC applications

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7309 ADAPTIVE AND SMART ANTENNAS 3-0-0: 3 2015

Pre-requisites: Nil

Course Objectives:

To Familiarize with smart and adaptive antennas To study about the different adaptive algorithms for the antenna To analyze the effect of mutual coupling and to study the space time

SyllabusDirection-of-arrival (DOA) algorithms, Smart antenna system design, simulation design process,Optimum Array Processing, Optimum Array Processing for narrowband applications, Optimum ArrayProcessing for broadband applications, Optimum Array Processing for perturbed propagationconditions. The least mean square error (LMS) algorithm, the Differential Steepest descent algorithm,the accelerated gradient approach, Gradient algorithm with constraints, Recursive Methods for AdaptiveError Processing: The weighted Least Square Error Processor, Updated Covariance Matrix Inverse,Kalman Filter methods for Adaptive Array Processing, the minimum variance processor, Effect of MutualCoupling on Adaptive Antennas: compensation using the minimum norm formulation, Intersymbol andCo-Channel Suppression, ISI Suppression, CCI Suppression, Joint ISI and CCI Suppression, Space-TimeProcessing for DS-CDMA, C, MIMO in Wireless Local Area Networks.Course Outcome:

The student will be able to Understand the various antenna array processing schemes, Adaptivealgorithms to adjust the required weighting on antennas, direction,of,arrival (DOA) estimation methodsto combat fading in mobile communications, and effects of errors on array system performance anderror,reduction schemeText Books:

1.T. S. Rappaport, Smart antennas: Adaptive arrays, algorithms and wireless position location, IEEEPress, 1998.2.Frank Gross, Smart antennas for wireless communications, McGra-Hill, 2006.References:

1. S. Chandran, Adaptive antenna arrays, trends and applications, Springer, 2009.

2. Constantine A. Balanis, Panayiotis I. Ioannides, Introduction to Smart Antennas, Morgan &Claypool Publishers 2007

3. T. K. Sarkar, Michael C. Wicks, M. Salazar-Palma, Robert J. Bonneau, Smart Antennas, JohnWiley & Sons, 2005.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7309 Adaptive and Smart Antennas 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Smart Antennas:, Need for Smart Antennas, Overview, SmartAntenna Configurations, Space Division Multiple Access (SDMA),Architecture of a Smart Antenna System, Benefits and Drawbacks, BasicPrinciples, Mutual Coupling Effects, Antenna beam formation , directionof,arrival (DOA) algorithms, adaptive beam formation, mutual coupling.Smart antenna system design, simulation and results

7 15

MODULE 2: Design process of Single element patch, rectangular patch,array design, planar arrays comparison. optimum Array Processing:Steady state performance limits and the Wiener solution, MathematicalPreliminaries Signal Description for conventional and signal aligned arrays

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Optimum Array Processing for narrowband applications,Optimum Array Processing for broadband applications, Optimum ArrayProcessing for perturbed propagation conditions.

7 15

MODULE 4: Adaptive Algorithms: The least mean square error (LMS)algorithm, the Differential Steepest descent algorithm, the acceleratedgradient approach, Gradient algorithm with constraints, Simulationstudies. Recursive Methods for Adaptive Error Processing: The weightedLeast Square Error Processor, Updated Covariance Matrix Inverse,Kalman Filter methods for Adaptive Array Processing, the minimumvariance processor, Simulation studies.

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Effect of Mutual Coupling on Adaptive Antennas: Accountingfor mutual effects for dipole array,Compensation using open, circuitvoltages, compensation using the minimum norm formulation,Effect ofmutual coupling, Constant Jammers, Constant Signal, Compensation ofmutual coupling, Constant Jammers, Constant Signal, Result of differentelevation angle, Space,Time Processing, Discrete Space,Time Channel andSignal Models, Space,Time Beam forming,

7 20

MODULE 6: Intersymbol and Co,Channel Suppression, ISI Suppression,CCI Suppression, Joint ISI and CCI Suppression, Space,Time Processing forDS,CDMA, Capacity and Data Rates in MIMO Systems, Single,User DataRate Limits, Multiple,Users Data Rate Limits, Data Rate Limits Within aCellular System.MIMO in Wireless Local Area Networks

7 20


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7311 Communication Network Security 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To familiarize with the basic mathematical concepts To study about the different encryption and decryption techniques To get a clear understanding of various network security issues and their solution

SyllabusConcepts of Cryptography Finite Fields of the Form GF(p) – Polynomial Arithmetic – Finite Fields of theForm GF(2n) ,Prime Numbers – Fermat’s and Euler’s Theorems – Testing for Primality – DiscreteLogarithms. Substitution Techniques – Transposition Techniques –Steganography , Data EncryptionStandard(DES) – Advanced Encryption Standard(AES) – RC5 – Blowfish , Principles of Public KeyCryptosystems - RSA - Other Public-Key Cryptosystems – Diffie-Hellman Key Exchange Elliptic CurveCryptography, Elgamal Digital Signature Scheme – Schnorr Digital Signature Scheme – Digital SignatureStandard. Transport-Level Security HTTPS - Secure Shell(SSH), Malicious Softwares- Viruses- Worms-Distributed Denial of Service Attacks-Firewalls- Firewall Location and Configurations

Course Outcome:


1. Identify network security threats and determine efforts to counter them2. Determine firewall requirements, and configure a firewall.

Text Books:

1. William Stallings, "Cryptography and Network Security-Principles and Practices”, Fifth Edition,Pearson Education.

References:

1. Behrouz A Forouzan, "Cryptography and Network Security", Tata McGrawHill.2. Matt Bishop,Sathyanarayana,S.Venkatramanayya, "Introduction to Computer Security", Pearson

Education.3. Wade Trappe,Lawrence C Washington, "Introduction to Cryptography with Coding Theory",

Second Edition, Pearson Education.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7311 Communication Network Security 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Mathematical Concepts of Cryptography – Divisibility andDivision Algorithm – Euclidean Algorithm ,Modular Arithmetic – Groups ,Rings – Fields – Finite Fields of the Form GF(p) – Polynomial Arithmetic –Finite Fields of the Form GF(2n)

7 15

MODULE 2: Introduction to Number Theory – Prime Numbers – Fermat’sand Euler’s Theorems,Testing for Primality – Discrete Logarithms.ClassicalEncryption Techniques–Substitution Techniques – TranspositionTechniques –Steganography

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Block Ciphers and Encryption Standards , Block CipherPrinciples , Data Encryption Standard(DES)Advanced EncryptionStandard(AES) – RC5 – Blowfish

7 15

MODULE 4: Public Key Cryptography – Principles of Public KeyCryptosystems, RSA Other Public Key Cryptosystems – Diffie, HellmanKey Exchange – Elgamal Cryptographic System Elliptic Curve Arithmetic –Elliptic Curve Cryptography.

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Digital Signatures – Elgamal Digital Signature Scheme –Schnorr Digital Signature Scheme – Digital SignatureStandard.Transport,Level Security , Secure Socket Layer , Transport LayerSecurity – HTTPS , Secure Shell(SSH)

6 20

MODULE 6: System Security – Intruders , Intrusion Detection, PasswordManagement,Malicious Softwares, Viruses, Virus Countermeasures,Worms, Distributed Denial of Service Attacks,Firewalls, Need forFirewalls, Firewall Characteristics ,Types of Firewalls, Firewall Basing,Firewall Location and Configurations

8 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7313 Computer Vision 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

1. To develop algorithms for interpreting a 3D scene captured2. To introduce to fundamental vision concepts, including: image formation; color; keypoint and

edge detection; segmentation; and reconstruction

SyllabusComputer vision, Quick review of probability theory. Bayes rule in a conditional setting, EstimationModels-Supervised learning. Nearest neighbor- one dimension, multi-dimensions. Alignment-Criteria foralignment. Simulated annealing. Combination approaches. Classification with alignment- Invariance.Penalty for alignment.Motion-Depth from motion. Pigeon and Praying mantis motion. Comparison tostereo vision for depth. Tracking. Edges, image derivatives, apparent edges. EM-algorithm. Splitting animage into regions. Segmentation by combining cues.

Course Outcome:


1. Demonstrate a thorough understanding of fundamental concepts in computer vision (cameraand projection models, image formation, image features, calibration, stereo).

2. Design and conduct experimental validation for a computational approach to a computer visionproblem, and interpret the results to assess the performance (accuracy, efficiency, robustness)of the method.

Text Books:

1. Computer Vision: Models, Learning, and Inference, Simon J.D. Prince, Cambridge UniversityPress

2. Computer vision: Algorithms and applications by Richard Szeliski.References:

1. Bayesian reasoning and machine learning by David Barber2. Multiple view geometry in computer vision by Richard Hartley and Andrew Zisserman3. Information theory, inference and learning algorithms by David MacKay4. Feature extraction and image processing by Mark S. Nixon and Alberto S. Aguado5. Pattern recognition and machine learning by Christopher M. Bishop


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7313 Computer Vision 3-0-0:3

MODULESContactHours

Sem.Exam

Marks (%)MODULE 1: Introduction to computer vision, Quick review of probabilitytheory. Sample spaces. Discrete probabilities. Continuous probabilities.Conditional probability. Joint probability. Marginal probabilities.Independence of random variables. Factorization of distributions.

7 15

MODULE 2: Bayes rule in a conditional setting, Bayes rule andindependence. Estimation Models, Trade, off between form of modelsand speed of estimation in relation to computer vision.

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Supervised learning. Nearest neighbor, one dimension,multi,dimensions. Semi,supervised learning.Alignment,Criteria foralignment. Exhaustive search.

7 15

MODULE 4:Gradient descent. Random restarts. Simulatedannealing.Combination approaches. Smoothing the space. Jointalignment. Congealing.Classification with alignment, Invariance. Penaltyfor alignment.

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Motion,Depth from motion. Pigeon and Praying mantismotion. Comparison to stereo vision for depth. Backgrounding.Thresholding. Likelihood backgrounding.

7 20

MODULE 6: Tracking. Edges, image derivatives, apparent edges. Textureedges, color edges, other edges. EM,algorithm. Splitting an image intoregions. Segmentation by combining cues.

7 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7315 Modern Trends in Communication 3-0-0:3 2015

Pre-requisites: Nil

Course Objectives:

To familiarize the concepts of Software defined radio To understand the basic concepts of Cognitive radio To study the cooperative communication technology and protocols To familiarize the concepts of Internet Of Things

SyllabusSoftware radio concepts, Design principles, topologies, Object oriented software radios, Direct digitalsynthesizers, CORDIC algorithm, Cognitive Radios and Dynamic Spectrum Access. Radios.MathematicalModels toward Networking Cognitive Radios. Sensing for Cognitive OFDMA Systems. Cooperationprotocols, Distributed space–time coding (DSTC), Distributed space–frequency coding (DSFC),Cooperative cognitive multiple access (CCMA) protocols. IOT PROTOCOLS, IOT Communication Models,IOT Communication APIs, IOT Enabling Technologies,Course Outcome:

The student will be able to Demonstrate a thorough understanding of fundamental concepts in thevarious modern communication techniques (cognitive radio, cooperative communication, IOT).

Text Books:

1. Paul Burns, Software Defined Radio for 3G, Artech House, 2002.2. Kwang-Cheng Chen, Ramjee Prasad , Cognitive Radio Networks, Wiley3. Cooperative Communications and Networking- K. J. Ray Liu, Ahmed K. Sadek, Weifeng Su and

Andres Kwasinsk, Cambridge University Press4. Internet of Things: A Hands-On Approach Vijay Madisetti, Arshdeep Bahga, VPT; 1 edition5. Adrian McEwen, Hakim Cassimally, Designing the Internet of Things, Wiley; 1 edition

References:

1. Tony J Rouphael, RF and DSP for SDR, Elsevier Newnes Press, 2008.2. Jouko Vanakka, Digital Synthesizers and Transmitter for Software Radio, Springer, 2005.3. P Kenington, RF and Baseband Techniques for Software Defined Radio, Artech House, 2005.


COURSE PLAN

COURSE CODE: COURSE TITLE CREDITS04 EC 7315 Modern Trends in Communication 3-0-0:3

MODULESContactHours

Sem. ExamMarks (%)

MODULE 1: Software radio concepts, Design principles, Receiver frontend topologies, Noise and Distortion in RF chain, Object orientedsoftware radios, Direct digital synthesizers, CORDIC algorithm.

7 15

MODULE 2: Pulse shaping and interpolation filters, DDS with tunableDSM, Transmitter and receiver architectures,Cognitive Radios andDynamic Spectrum Access. Analytical Approach and Algorithms forDynamic Spectrum Access.Fundamental Limits of Cognitive Radios.

7 15

INTERNAL TEST 1 (MODULE 1 & 2)MODULE 3: Mathematical Models toward Networking Cognitive Radios.Spectrum Sensing to Detect Specific Primary System.Spectrum Sensingfor Cognitive OFDMA Systems. Spectrum Sensing for CognitiveMulti,Radio Networks. Spectrum Sharing. Spectrum Pricing.

7 15

MODULE 4: Mobility Management of Heterogeneous Wireless Networks.Regulatory Issues and International Standards. Cooperativecommunications, Cooperation protocols, Cooperative communicationswith single relay, System model, Distributed space–time coding (DSTC)

7 15

INTERNAL TEST 2 (MODULE 3 & 4)MODULE 5: Distributed space–frequency coding (DSFC), Differentialmodulation for cooperative communications, Differential modulation,Energy efficiency in cooperative sensor networks, System model,cognitive multiple access via cooperation, System model, Cooperativecognitive multiple access (CCMA) protocols

6 20

MODULE 6: The Internet of things: An Overview, Definition andcharacteristics.Physical Design of IOT, Things in IOT, IOT PROTOCOLS,Logical Design of IOT, IOT Functional blocks,IOT Communication Models,IOT Communication APIs,IOT Enabling Technologies, Design Principles forConnected Devices, Internet Principles, Thinking About Prototyping

8 20

END SEMESTER EXAM


COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7391 SEMINAR II 0-0-2 :2 2015

Each student shall present a seminar on any topic of interest related to the core / elective coursesoffered in the first semester of the M. Tech. Programme. He / she shall select the topic based onthe References: from international journals of repute, preferably IEEE journals. They should get thepaper approved by the Programme Co-ordinator / Faculty member in charge of the seminar andshall present it in the class. Every student shall participate in the seminar. The students shouldundertake a detailed study on the topic and submit a report at the end of the semester. Marks willbe awarded based on the topic, presentation, participation in the seminar and the reportsubmitted.

COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7393 PROJECT (PHASE 1) 0-0-12 :6 2015

In Master’s Project Phase,I, the students should select an emerging research area in the field that hasdirect or indirect relation to the area of specialization. After conducting a detailed literature survey, theyshould compare and analyze research work done and review recent developments in the area andprepare an initial design of the work to be carried out as Master’s Project. It is mandatory that thestudents should refer National and International Journals and conference proceedings while selecting atopic for their Project. He/She should select a recent topic from a reputed International Journal,preferably IEEE, ACM, Springer. Emphasis should be given for introduction to the topic, literature survey,and scope of the proposed work along with some preliminary work carried out on the Project topic.

Students should submit a copy of Phase-I Project report covering the content discussed above andhighlighting the features of work to be carried out in Phase-II of the Project. The candidate shouldpresent the current status of the Project work and the assessment will be made on the basis of the workand the presentation, by a panel of internal examiners in which one will be the internal guide. Theexaminers should give their suggestions in writing to the students so that it should be incorporated inthe Phase–II of the Project.

COURSE CODE COURSE NAME L-T-P:C YEAR04 EC 7394 PROJECT (PHASE 2) 0-0-21 :12 2015

In the fourth semester, the student has to continue the Project phase I work and after successfullyfinishing the work, he / she has to submit a detailed bounded Project report. The work carried outshould lead to a publication in a National / International Conference or Journal. The papers receivedacceptance before the M. Tech evaluation will carry specific weightage.

m. tech program in electronics and communication engineering · syllabus arithmetic of galois...

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